{
  "asOf": "2026-09-06",
  "discovery": "Exa API search followed by direct primary-page content retrieval",
  "scope": "Additions defining frontier and Pareto model roles and documenting Anthropic batch pricing. Historical chart snapshots and prior pricing observations remain unchanged.",
  "editorialDefinitions": {
    "frontier": "Leading edge of demonstrated general-purpose capability at a given date.",
    "pareto": "An efficient evaluated configuration meeting a workload quality, reliability, and response-time bar at the lowest established total cost.",
    "relationship": "Capability leadership and workload efficiency can overlap. These definitions do not divide model families into exclusive classes."
  },
  "sources": [
    {
      "id": "frontier-capability",
      "url": "https://www.frontiermodelforum.org/about-us/",
      "kind": "terminology",
      "observation": "The Frontier Model Forum broadly describes frontier AI as general-purpose models constituting the state of the art, with membership changing as the field progresses.",
      "conditions": [
        "The essay uses the broad capability meaning, not the Forum membership criterion involving models deployed for at least 12 months."
      ],
      "title": "About - Frontier Model Forum",
      "retrievedAt": "2026-09-06T08:40:01.003Z",
      "retrievalSource": "crawled",
      "extractedTextSha256": "e7ad3210f1a7a520c4906ee3b4ec31f824c48b5ff908aebb92284d605e291930"
    },
    {
      "id": "pareto-efficiency",
      "url": "https://web.stanford.edu/group/sisl/k12/optimization/MO-unit5-pdfs/5.8Pareto.pdf",
      "kind": "mathematical definition",
      "observation": "Pareto-efficient choices cannot improve an objective without sacrificing another. Choosing among efficient tradeoffs requires priorities or constraints.",
      "conditions": [
        "The essay adds its own workload selection rule: satisfy quality, reliability, and timing requirements at the lowest established total cost.",
        "The 80/20 challenger box is an editorial filter and is not the definition of Pareto efficiency."
      ],
      "title": "Pareto Optimality",
      "retrievedAt": "2026-09-06T08:38:58.055Z",
      "retrievalSource": "crawled",
      "extractedTextSha256": "fd8cf74df31ff7ef3e4918850ecfbcdb8bb5f579574ac459c64eb17d2f299940"
    },
    {
      "id": "workload-selection",
      "url": "https://platform.claude.com/docs/en/about-claude/models/choosing-a-model",
      "kind": "provider guidance",
      "observation": "Anthropic recommends considering capability, speed, cost, and reasoning effort, then testing with actual prompts and data. It describes both capability-first and efficiency-first selection.",
      "conditions": [
        "This supports the evaluation method, not a universal claim that one model is best for discovery or delivery."
      ],
      "title": "Choosing the right model",
      "retrievedAt": "2026-09-06T08:38:58.055Z",
      "retrievalSource": "cached",
      "extractedTextSha256": "154adeab5c559dc32f0e27b11c7499a19927b9ad3f5a9e1447db1e2fff28fd81"
    },
    {
      "id": "fable-standard-pricing",
      "url": "https://platform.claude.com/docs/en/models/fable-5-1/overview",
      "kind": "published model prices",
      "observation": "Claude Fable 5.1 lists base input at USD 10 and output at USD 50 per million tokens, with a 50% Message Batches API discount on input and output.",
      "standardUsdPerMillionTokens": {
        "input": 10,
        "output": 50
      },
      "batchUsdPerMillionTokens": {
        "input": 5,
        "output": 25
      },
      "conditions": [
        "Input figures refer to base input, before prompt-caching distinctions.",
        "The comparison concerns API token rates, not total costs including engineering, retries, human repair, or external services."
      ],
      "title": "Claude Fable 5.1",
      "retrievedAt": "2026-09-06T08:38:58.055Z",
      "retrievalSource": "cached",
      "extractedTextSha256": "7f6b957006ca30cc92b2c80eafc0c1ed9fdb6fe6836901c4c6c81a0946d7887b"
    },
    {
      "id": "message-batches",
      "url": "https://platform.claude.com/docs/en/build-with-claude/batch-processing",
      "kind": "published batch prices and behavior",
      "observation": "The Message Batches API pricing table explicitly lists Claude Fable 5.1 at USD 5 per million input tokens and USD 25 per million output tokens. The service processes requests asynchronously and independently. Unfinished requests expire after 24 hours.",
      "conditions": [
        "All active models support batching.",
        "The batch window is not a guarantee that every submitted request succeeds within 24 hours.",
        "A batch token rate of 50% does not establish that total production cost per successful task halves."
      ],
      "title": "Message Batches API",
      "retrievedAt": "2026-09-06T08:38:58.055Z",
      "retrievalSource": "crawled",
      "extractedTextSha256": "fa13f6b7ff7abf7499dd37d68378a4286376e1811ac6b983c1f896e5ff7779ca"
    },
    {
      "id": "cost-and-intelligence",
      "url": "https://platform.claude.com/docs/en/about-claude/models/optimizing-for-cost-and-intelligence",
      "kind": "provider guidance",
      "observation": "Anthropic separates cost reductions such as caching and batching from choices that trade capability for cost, such as model or effort changes. It recommends comparing cost per completed task.",
      "conditions": [
        "Batching trades response timing for its discount.",
        "The document includes internal benchmark results, which the essay does not claim as independent measurements."
      ],
      "title": "Optimizing for cost and intelligence",
      "retrievedAt": "2026-09-06T08:38:58.055Z",
      "retrievalSource": "crawled",
      "extractedTextSha256": "4f0e13ceb6fa6f7f7136163516109c38f74c4787bbfc8ea02fd1d60ddfcf05fc"
    }
  ]
}